IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Python Projects for Beginners: 15 Ideas to Build
Fifteen beginner Python projects ordered as a ladder, where each one adds exactly one new idea, from a bill splitter to a habit tracker with tests. Every project has a 'done when' check and a stretch goal, and the starter code shown was run.
AWS Lambda Explained: Serverless for Beginners
AWS Lambda runs your code in response to events without servers to manage. This beginner's guide explains the handler, events and triggers, what an execution environment is and why initialisation code runs once, the limits that shape what Lambda is for, how billing works, and where it fits in data pipelines.
Machine Learning Roadmap for Beginners in 2026
A machine learning roadmap for beginners in 2026 focused on the models themselves: which maths to learn and in what order, the supervised and unsupervised methods to master, when to start deep learning, how to choose a specialisation, and a concrete self-test at each stage so you know when to move on.
Apache Spark Explained for Beginners
A beginner's guide to Apache Spark: what it is for, how the driver, executors and cluster manager fit together, jobs, stages and tasks, lazy transformations and actions demonstrated on three million New York taxi trips, partitions, installing PySpark, and the mistakes beginners make.
Top 10 Machine Learning Algorithms Explained for Beginners
The ten machine learning algorithms beginners should know, each explained by how it works, what it is good at and where it fails, plus a head-to-head benchmark of the seven classifiers on three real datasets under identical cross-validation, and what published studies of hundreds of datasets add to that picture.
Amazon DynamoDB Explained for Beginners
A beginner's guide to Amazon DynamoDB: what a NoSQL key-value database is for, how tables, items, partition keys and sort keys work, a Query and a Scan run on 412 real invoices to show why key design matters, secondary indexes, capacity modes, consistency, and how data engineers get DynamoDB data out for analytics.